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SIAM Journal on Numerical Analysis
Article . 1988 . Peer-reviewed
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The Schwarz Algorithm for Spectral Methods

The Schwarz algorithm for spectral methods
Authors: C. CANUTO; FUNARO, Daniele;

The Schwarz Algorithm for Spectral Methods

Abstract

This paper is concerned with a domain decomposition method for the Laplace equation in a square with Dirichlet boundary conditions. The method consists in a combination of the classical Schwarz alternating method with spectral methods and more precisely a Legendre-Galerkin or collocation method. Error estimates yielding geometric convergence are proven by arguments related to maximum principle.

Country
Italy
Keywords

Numerical solutions to overdetermined systems, pseudoinverses, Laplace equation, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Schwartx algorithm; spectral methods, geometric convergence, collocation method, Boundary value problems for second-order elliptic equations, maximum principle, spectral methods, Legendre-Galerkin method, Spectral, collocation and related methods for boundary value problems involving PDEs, Error estimates, Schwarz alternating method, domain decomposition method

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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38
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